• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Computer Vision Based Method and System for Online Measurement of Geometric Parameters of Train Wheel Sets
【2h】

Computer Vision Based Method and System for Online Measurement of Geometric Parameters of Train Wheel Sets

机译：基于计算机视觉的车轮副几何参数在线测量方法和系统

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Train wheel sets must be periodically inspected for possible or actual premature failures and it is very significant to record the wear history for the full life of utilization of wheel sets. This means that an online measuring system could be of great benefit to overall process control. An online non-contact method for measuring a wheel set’s geometric parameters based on the opto-electronic measuring technique is presented in this paper. A charge coupled device (CCD) camera with a selected optical lens and a frame grabber was used to capture the image of the light profile of the wheel set illuminated by a linear laser. The analogue signals of the image were transformed into corresponding digital grey level values. The ‘mapping function method’ is used to transform an image pixel coordinate to a space coordinate. The images of wheel sets were captured when the train passed through the measuring system. The rim inside thickness and flange thickness were measured and analyzed. The spatial resolution of the whole image capturing system is about 0.33 mm. Theoretic and experimental results show that the online measurement system based on computer vision can meet wheel set measurement requirements.
机译：必须定期检查轮对是否有可能或实际的过早失效，对于轮对的整个使用寿命而言，记录磨损历史非常重要。这意味着在线测量系统可能对整体过程控制有很大帮助。本文提出了一种基于光电测量技术的在线非接触式轮对几何参数测量方法。使用带有选定光学透镜和抓帧器的电荷耦合器件（CCD）摄像机来捕获由线性激光照射的轮副的​​光轮廓图像。图像的模拟信号被转换为相应的数字灰度值。 “映射功能方法”用于将图像像素坐标转换为空间坐标。火车通过测量系统时，会捕获轮对的图像。测量并分析轮辋内部厚度和凸缘厚度。整个图像捕获系统的空间分辨率约为0.33 mm。理论和实验结果表明，基于计算机视觉的在线测量系统可以满足轮对测量要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号